






'''simple docstring'''







import os
import unittest

from transformers.models.phobert.tokenization_phobert import VOCAB_FILES_NAMES, PhobertTokenizer

from ...test_tokenization_common import TokenizerTesterMixin




class   __SCREAMING_SNAKE_CASE       (__A							,       unittest.TestCase       ):


  """simple docstring"""


  _a  : Union[str, Any]      			=     PhobertTokenizer
  _a  : str      			=     False







  def    _a       (			self	):






         """simple docstring"""


         super().setUp()

         # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
         a_						     =			['T@@', 'i', 'I', 'R@@', 'r', 'e@@']
         a_						     =			dict(zip(UpperCamelCase__   ,	range(len(UpperCamelCase__	)	)	)	)
         a_						     =			['#version: 0.2', 'l à</w>']
         a_						     =			{'unk_token': '<unk>'}

         a_						     =			os.path.join(self.tmpdirname   ,	VOCAB_FILES_NAMES['vocab_file']	)
         a_						     =			os.path.join(self.tmpdirname   ,	VOCAB_FILES_NAMES['merges_file']	)

         with open(self.vocab_file   ,	'w'   ,	encoding='utf-8'	) as fp:
                for token in vocab_tokens:
                       fp.write(f'{token} {vocab_tokens[token]}\n'	)
         with open(self.merges_file   ,	'w'   ,	encoding='utf-8'	) as fp:
                fp.write('\n'.join(UpperCamelCase__	)	)







  def    _a       (			self   ,	**UpperCamelCase__	):






         """simple docstring"""


         kwargs.update(self.special_tokens_map	)
         return PhobertTokenizer.from_pretrained(self.tmpdirname   ,	**UpperCamelCase__	)







  def    _a       (			self   ,	UpperCamelCase__	):






         """simple docstring"""


         a_						     =			'Tôi là VinAI Research'
         a_						     =			'T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'
         return input_text, output_text







  def    _a       (			self	):






         """simple docstring"""


         a_						     =			PhobertTokenizer(self.vocab_file   ,	self.merges_file   ,	**self.special_tokens_map	)
         a_						     =			'Tôi là VinAI Research'
         a_						     =			'T@@ ô@@ i l@@ à V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h'.split()
         a_						     =			tokenizer.tokenize(UpperCamelCase__	)
         print(UpperCamelCase__	)
         self.assertListEqual(UpperCamelCase__   ,	UpperCamelCase__	)

         a_						     =			tokens + [tokenizer.unk_token]

         a_						     =			[4, 3, 5, 3, 3, 3, 3, 3, 3, 6, 7, 9, 3, 9, 3, 3, 3, 3, 3]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__	)   ,	UpperCamelCase__	)












'''simple docstring'''







def       __UpperCamelCase					(      lowercase_       :  int = 1_000_000   ):
       """simple docstring"""




       a_						     =			set(range(3   ,       lowercase_   ,       2   )   )
       primes.add(2   )
       for p in range(3   ,       lowercase_   ,       2   ):
              if p not in primes:
                     continue
              primes.difference_update(set(range(p * p   ,       lowercase_   ,       lowercase_   )   )   )

       a_						     =			[float(lowercase_   ) for n in range(limit + 1   )]

       for p in primes:
              for n in range(lowercase_   ,       limit + 1   ,       lowercase_   ):
                     phi[n] *= 1 - 1 / p

       return int(sum(phi[2:]   )   )


if __name__ == "__main__":
  print(f"""{solution() = }""")




